AI Safety Evaluation: A Critical Need

Challenges in Safety Assessments

Many safety evaluations for AI models exhibit significant limitations. The field of safety evaluation for general-purpose AI systems is nascent and requires rapid development.

Ensuring Rigorous Assessments

We advocate for rigorous safety evaluations of powerful AI systems. Evaluating AI models can uncover weaknesses and vulnerabilities, including those found in machine learning (ML) and generative AI, such as large language models.

Importance of AI Safety Research

AI safety research is paramount and deserves widespread support. The anticipated outcomes of this research encompass scalable guidelines, tools, methodologies, and metrics for organizations to employ.

Conclusion

AI safety evaluations are vital to ensure the responsible development and deployment of AI systems. By addressing safety concerns, we mitigate risks and pave the way for the ethical and beneficial use of AI in society.